WEBVTT - Nvidia Gains and Chinese Tech Stocks Sink

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<v Speaker 1>From Marhart where Innovation, money and power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Ludlow.

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<v Speaker 2>Live from New York and San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up and Vidio needs benchmarks

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<v Speaker 3>in a big week for markets as investors, a weight

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<v Speaker 3>economic data and a fed Pal speech.

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<v Speaker 2>Out of Jackson Hole.

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<v Speaker 4>Chinese tech stock sink overnight the latest and why Walmart's

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<v Speaker 4>three point six billion dollar JD dot com steak sale

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<v Speaker 4>has put e commerce companies under pressure, and Ford pulls.

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<v Speaker 3>Back further from vs scrapping an all electric suv and

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<v Speaker 3>taking a one point nine billion dollar charge to shift strategies. Again,

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<v Speaker 3>that's all to come a first as checking on these markets.

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<v Speaker 3>Some economic data that we are currently digesting is their

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<v Speaker 3>revisions to the jobs data. And yes they're more than

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<v Speaker 3>eight hundred thousand, but not enough to really change the

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<v Speaker 3>dynamic move of the markets right now. Are still holding

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<v Speaker 3>onto our gains up a tenth of a percent, yes,

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<v Speaker 3>and come off the highs, but still managing to cling

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<v Speaker 3>on to an upcycle when it comes to the technology

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<v Speaker 3>name stock six hundred over in Europe, also powering ahead,

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<v Speaker 3>Rock six tens percent. Interestingly, a rebound in Chinese tech

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<v Speaker 3>names as well. I shine a light on the Nasdak

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<v Speaker 3>Golden Dragon, which I know you're going to dig into

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<v Speaker 3>some individual moves of ED, but yesterday under pressure, today's

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<v Speaker 3>still some individual names we're going to be shining a

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<v Speaker 3>light on and just take talk us through what you're

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<v Speaker 3>watching ED.

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<v Speaker 4>Yeah, I mean overnight, a lot of pressure on Hong

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<v Speaker 4>Kong listed tech shares. Why Walmart made three point six

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<v Speaker 4>billion dollars selling out of its stake in JD dot

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<v Speaker 4>Com actually JD confirming through the Hong Kong Exchange that

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<v Speaker 4>wal might no longer hold a steak.

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<v Speaker 5>We're going to hit that.

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<v Speaker 4>Story hard throughout the hour with our reporters who are

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<v Speaker 4>on it. But it's interesting to see, at least with

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<v Speaker 4>JD dot COM's ADRs. The pressure in videos top of mind.

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<v Speaker 4>And again we're at like one hundred and twenty nine

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<v Speaker 4>dollars a share, one hundred and twenty seven dollars a share,

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<v Speaker 4>not far off that one hundred and thirty five dollars

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<v Speaker 4>a share record we hit in June. There is a

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<v Speaker 4>lot of anticipation ahead of next week's earnings. August twenty

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<v Speaker 4>eight far after market in whether in video will get

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<v Speaker 4>back to that record level record heights led the market

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<v Speaker 4>right in this rebound we've seen since August or the

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<v Speaker 4>beginning of August, there's a lot of hope where the

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<v Speaker 4>hope translates to confidence.

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<v Speaker 3>Who knows, Carol, Yeah, and let's dig in to one

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<v Speaker 3>of the key stories being written on the terminal today

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<v Speaker 3>by our own round Lostellica joining us to already pass

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<v Speaker 3>through what the market sentiment is around in video whether

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<v Speaker 3>it can bring this macro level event come August the

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<v Speaker 3>twenty eighth.

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<v Speaker 2>And you talked to some key balls.

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<v Speaker 6>Out there, Yes, good morning, thanks for having me. So

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<v Speaker 6>it does seem like there is growing confidence that the

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<v Speaker 6>spending on AI, which has been really the central ball

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<v Speaker 6>thesis behind in video and really a major driver behind

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<v Speaker 6>overall tech games. People are pretty confident that spending is

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<v Speaker 6>going to remain pretty consistent. There were some concerns earlier

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<v Speaker 6>this month about how much ROI are these companies seeing

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<v Speaker 6>out of their.

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<v Speaker 5>AI investments so far.

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<v Speaker 6>The general thesis seems to be that even if the

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<v Speaker 6>ROI is a little bit delayed and it doesn't start

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<v Speaker 6>showing up in growth and improved efficiency for maybe a

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<v Speaker 6>few more quarters or even longer than that. There's still

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<v Speaker 6>going to be a ton of demand for these AI

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<v Speaker 6>chips and hardware and infrastructure, and that kind of tail

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<v Speaker 6>one is going to continue supporting Nvidia at least in

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<v Speaker 6>terms of its growth.

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<v Speaker 1>Right.

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<v Speaker 5>It's what for counting.

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<v Speaker 4>What's happened just in the last couple of weeks sold

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<v Speaker 4>me through the rally, the rebound in Nvidia shares.

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<v Speaker 1>Yeah.

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<v Speaker 5>Absolutely so.

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<v Speaker 6>We did see some pretty broad based weakness earlier in

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<v Speaker 6>this month. Some of that was related to the end

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<v Speaker 6>and just something else, you know, just other factors like that,

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<v Speaker 6>some concerns about valuation, but we did see a pretty

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<v Speaker 6>dramatic rebound. We also had the megacap results that we

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<v Speaker 6>saw out last month. All the major Nvidia customers like Microsoft, Amazon, Alphabet, Metay,

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<v Speaker 6>we know, really kind of reagread.

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<v Speaker 5>That they're going to continue spending on this.

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<v Speaker 6>And I think those two things just people looking for

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<v Speaker 6>a dip to buy and then that sort of spending tailwind.

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<v Speaker 6>The confluence of those two things really, you know, spurred

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<v Speaker 6>investors to buy the dip on in video and you've

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<v Speaker 6>seen the stock just jump up I think about thirty

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<v Speaker 6>percent or so off that low earlier this month.

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<v Speaker 3>It's interesting that chip makers have been what of dictated where.

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<v Speaker 2>The nazag one hunter is gone and broad on.

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<v Speaker 3>Many on this show call it sort of the poor

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<v Speaker 3>man's in video, and people have been buying into that name.

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<v Speaker 3>I'm looking at Texas Instruments today and actually here's a

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<v Speaker 3>company that's curtailing some of its capital expenditure, which people

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<v Speaker 3>are worrying about too much of in the hyperscaler's area.

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<v Speaker 2>What do you make of TI today, Yeah.

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<v Speaker 6>So they are kind of maybe pulling back in their capex.

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<v Speaker 6>There's some optimism that that's going to lead to some

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<v Speaker 6>improved free cash flow for them. So a little bit

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<v Speaker 6>of a different kind of player. They're not as active

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<v Speaker 6>in AI, certainly not to the extent that in video

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<v Speaker 6>or AMD or some of these other major players are,

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<v Speaker 6>but it does seem like people are looking to them

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<v Speaker 6>just as a way to improve their free cash flow.

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<v Speaker 6>And that's why we're seeing a little bit of a

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<v Speaker 6>lift in that stock today. And we saw that city

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<v Speaker 6>upgrade of the stock kind of expecting improvement in margins,

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<v Speaker 6>improvement in cash flow, all related to its capex comments

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<v Speaker 6>Ran it's.

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<v Speaker 3>A great story on Nvidia talking to so many money

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<v Speaker 3>managers on both sides, and indeed, the LATESTU on Texas Instruments,

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<v Speaker 3>we thank you Ron for SELICA. Now let's dig more

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<v Speaker 3>into some of the individual names and indeed the broader

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<v Speaker 3>market with Kevin Welkosh. He's the portfolio manager of it

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<v Speaker 3>GENS and Investment Management covering tech, AI and chips, who

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<v Speaker 3>are the perfect sort of person that we need to

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<v Speaker 3>speak to when many are wondering what the return on

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<v Speaker 3>investment of AI is for you? Is infrastructure picks and

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<v Speaker 3>shovels still the good place to be allocating.

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<v Speaker 7>Right when we think about it. So what with GENS

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<v Speaker 7>in investment management, we're focused on quality investing, We're focused

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<v Speaker 7>on a long term we think right now sort of

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<v Speaker 7>the AI attention certainly is more in the short term

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<v Speaker 7>in terms of CAPEX band and demand for Nvidia chips,

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<v Speaker 7>but historically that the chip industry is very cyclical and

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<v Speaker 7>we're looking for sort of those platform players that can

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<v Speaker 7>kind of continue to monetize consistently over the long term.

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<v Speaker 7>So when we think about today, certainly the intensions on Nvidia,

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<v Speaker 7>but we're really looking more towards the long term, So

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<v Speaker 7>that would be the Microsoft's really establishing themselves with that

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<v Speaker 7>massive CAPEC spend. We're also seeing it on alphabet side,

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<v Speaker 7>the alphabet side where you know, again that investment's building

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<v Speaker 7>that beachhead for long term monetization.

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<v Speaker 1>We also like Accentrire.

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<v Speaker 7>We think Accenture from an AI story has sort of

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<v Speaker 7>been really misunderstood by the market in our opinion. When

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<v Speaker 7>we look at Accenture right now, we think the mart

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<v Speaker 7>the market, which we continue to think as a long

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<v Speaker 7>term investor, we tend to think of it as very

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<v Speaker 7>short term focused, tends to focus on a little bit

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<v Speaker 7>of slowdown in it. Spend has sort of, you know,

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<v Speaker 7>unduly hammered the stock in our opinion, And when we

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<v Speaker 7>look at Accenture, they've committed to the spending three billion

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<v Speaker 7>to tool up for AI. They were a market leader

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<v Speaker 7>in terms of cloud build significant share when they did

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<v Speaker 7>a large investment like that as well, and we would

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<v Speaker 7>expect them as sort of a picks and shovels type

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<v Speaker 7>company to really benefit in a long term from AI

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<v Speaker 7>as an implementer in that they don't really have to

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<v Speaker 7>pick the winner, they just have to continue to be

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<v Speaker 7>very good at implementing the tech.

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<v Speaker 4>Kevin I didn't expect us to jump straight in on

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<v Speaker 4>an accenture. I'll be honest with you. It's a pretty

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<v Speaker 4>big week economic data, power speaks and everyone has a

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<v Speaker 4>lot of anxiety about in Vidia on August twenty eighth,

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<v Speaker 4>which is the most important for you.

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<v Speaker 5>I mean for us.

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<v Speaker 7>When we look at Nvidia, it's interesting, but we don't

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<v Speaker 7>own in video, and when we think about the market,

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<v Speaker 7>you know, it's been very binary, handful of AI driven

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<v Speaker 7>stocks and really sort of missing sort of the broader

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<v Speaker 7>value creation across the market as a whole. So in

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<v Speaker 7>this case, you know, we certainly acknowledge in VideA. We'll

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<v Speaker 7>understand how it contextually sort of can impact our portfolio.

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<v Speaker 7>What we're sort of keyed in on the short term

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<v Speaker 7>is just sort of continuation of that sort of trend

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<v Speaker 7>and migration from a long term perspective towards AI, but

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<v Speaker 7>also broader tech and seeing how healthy it is in

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<v Speaker 7>terms of growing.

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<v Speaker 5>So that's that's about it.

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<v Speaker 7>It's sort of contextually looking at the short term, but

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<v Speaker 7>really with an eye towards the long term.

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<v Speaker 3>I'm really interested in that that you're not in in video,

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<v Speaker 3>but you are in alphabet, Microsoft TSMC. The likes of

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<v Speaker 3>Eccentia Texas Instruments, maybe less so on the AI side,

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<v Speaker 3>but the others are AI names.

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<v Speaker 2>Why are you in Nvidia?

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<v Speaker 7>So what's interesting about our strategy very inherent in terms

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<v Speaker 7>of us.

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<v Speaker 5>In our sort of quest for.

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<v Speaker 7>Long term quality growth businesses, we look for companies that

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<v Speaker 7>have high returns on capital and consistently, so we're looking

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<v Speaker 7>for companies that have return and excess of fifteen percent

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<v Speaker 7>return on equity for ten years. So it's not an

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<v Speaker 7>average every year as to hit it's supposed to the

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<v Speaker 7>ten years. It is supposed to denote an all sort

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<v Speaker 7>of market type environment of high capital returns. And Nvidia

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<v Speaker 7>had not up until this most recent fiscal year qualified

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<v Speaker 7>and so in that case it does qualify. Now we

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<v Speaker 7>are actually researching it. Our sense when we look at

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<v Speaker 7>the valuation would be that from a fundamental standpoint, we'll

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<v Speaker 7>probably like it. But I think from a valuation standpoint

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<v Speaker 7>for us too rich to sort of enter position.

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<v Speaker 4>Right now, Kevin, The nvidious side of the equation on

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<v Speaker 4>AI is easy to understand. The capex investment on airastructures

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<v Speaker 4>there if you go back to your accenture example, I

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<v Speaker 4>find really interesting where people struggle is to see the

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<v Speaker 4>top line growth coming out the other side, those that

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<v Speaker 4>are working on AI services and products, do you see it.

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<v Speaker 7>It's early days we've seen.

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<v Speaker 8>What's interesting is is you look.

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<v Speaker 7>At the growth in terms of AI projects and spend

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<v Speaker 7>for Accenture has been growing dramatically and so but relative

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<v Speaker 7>to total revenue it's not as large yet. And that's

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<v Speaker 7>typically what we've see in these sort of early adoptions

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<v Speaker 7>of new, newer or new technologies. You sort of see

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<v Speaker 7>small base, large growth, and right now, relative to the picture,

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<v Speaker 7>it looks small. And I think the market, you know,

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<v Speaker 7>from our perspective and we look at it, you know,

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<v Speaker 7>the market's so focused on short term gains that in

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<v Speaker 7>essence sort of looking at the trees, and we're trying

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<v Speaker 7>to look at the forest. And we like the trends,

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<v Speaker 7>we like the direction, and having been invested in this

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<v Speaker 7>company for a long time and seeing this sort of

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<v Speaker 7>play out before in other tech trends, we're incredibly excited

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<v Speaker 7>about the opportunities that had for Accenture.

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<v Speaker 3>Kevin Welcos great to have some time with you. Thank you,

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<v Speaker 3>portfolio manager. Thanks and Jensen making investment management. Now we

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<v Speaker 3>shift gears a little here because Italian divers have now

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<v Speaker 3>been joined by an underwater robot as the search and

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<v Speaker 3>rescue efforts resumed for a third day around the sunken

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<v Speaker 3>yacht off Sicily. A British tech entrepreneur, Mike Lynch will

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<v Speaker 3>we stand the international chairman, Jonathan Bloomer, and four others

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<v Speaker 3>are feared to have died earlier this week. The robot

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<v Speaker 3>is capable of operating on the seabed at a depth

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<v Speaker 3>of up to three hundred meters for between six and

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<v Speaker 3>seven hours as his authorities continue to investigate just how

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<v Speaker 3>the luxury yacht sank in the early hours of Monday morning.

0:11:00.320 --> 0:11:02.040
<v Speaker 3>Will keep you up to date on the latest from

0:11:02.080 --> 0:11:02.640
<v Speaker 3>this tragedy.

0:11:03.320 --> 0:11:05.280
<v Speaker 5>Ed okay coming out.

0:11:05.280 --> 0:11:08.600
<v Speaker 4>Walmart ends its partnership with JD dot Com in China.

0:11:08.679 --> 0:11:13.040
<v Speaker 4>Details on how Walmot's refining its strategy in that country.

0:11:13.080 --> 0:11:15.040
<v Speaker 5>Next, this is Bloomberg Technology.

0:11:25.640 --> 0:11:28.120
<v Speaker 3>Let's return to JD dot Com and the pressure there

0:11:28.160 --> 0:11:31.520
<v Speaker 3>because Walmart actually sold out, raising about three point six

0:11:31.559 --> 0:11:33.720
<v Speaker 3>billion dollars by selling its stake in the Chinese e

0:11:33.720 --> 0:11:36.959
<v Speaker 3>commerce firm, and the move winds down an eight year

0:11:37.040 --> 0:11:40.079
<v Speaker 3>partnership that appears to be paying diminishing returns and pretty

0:11:40.160 --> 0:11:41.959
<v Speaker 3>challenging landscape for Chinese tech giants.

0:11:42.320 --> 0:11:44.560
<v Speaker 2>Bloomberg's Amy Or has more of the details.

0:11:44.960 --> 0:11:48.160
<v Speaker 3>A lot of pressure on the shares of JD dot

0:11:48.160 --> 0:11:51.080
<v Speaker 3>Com for obvious reasons, but it's really sending slight shot

0:11:51.120 --> 0:11:54.240
<v Speaker 3>waves across the entire industry group. People are worried about

0:11:54.240 --> 0:11:56.240
<v Speaker 3>what the signals for JD dot com and its growth.

0:11:56.520 --> 0:12:00.680
<v Speaker 9>Yeah, well, especially at a time when Chinese economy is slowing,

0:12:00.720 --> 0:12:04.400
<v Speaker 9>and also like it's been reflected in e commerce, and

0:12:04.480 --> 0:12:07.760
<v Speaker 9>also it really shows that US companies can actually go

0:12:07.800 --> 0:12:08.400
<v Speaker 9>their own way.

0:12:08.640 --> 0:12:10.280
<v Speaker 2>It's not like eight years ago.

0:12:10.280 --> 0:12:12.920
<v Speaker 9>When the partnership started that you really need a local

0:12:12.960 --> 0:12:17.960
<v Speaker 9>partnership to really gain popularity among Chinese consumers. And now

0:12:18.320 --> 0:12:21.800
<v Speaker 9>Sam's Club has actually got really good recognition amound Chinese

0:12:21.880 --> 0:12:22.760
<v Speaker 9>customers as well.

0:12:24.080 --> 0:12:24.680
<v Speaker 5>This is good point.

0:12:24.720 --> 0:12:25.000
<v Speaker 1>Amy.

0:12:25.200 --> 0:12:27.480
<v Speaker 4>You know, in your reporting you give the backstory of

0:12:27.480 --> 0:12:30.840
<v Speaker 4>Walmart in China, which is about eight years of partnership

0:12:30.840 --> 0:12:34.040
<v Speaker 4>with JD dot Com, but their kind of hypermart business

0:12:34.160 --> 0:12:34.640
<v Speaker 4>is strong.

0:12:34.760 --> 0:12:36.280
<v Speaker 5>Sources talk to us about that.

0:12:36.600 --> 0:12:41.520
<v Speaker 9>What did you learn, So essentially the partnership in the past,

0:12:41.559 --> 0:12:44.680
<v Speaker 9>it was great. It started off as trying to get

0:12:44.760 --> 0:12:49.080
<v Speaker 9>Chinese customers to actually recognize is brands and try to

0:12:49.240 --> 0:12:52.400
<v Speaker 9>gain shares that it might not have been able to

0:12:52.559 --> 0:12:55.400
<v Speaker 9>without a Chinese partner. But now that kind of growth

0:12:55.440 --> 0:12:58.880
<v Speaker 9>has slowed together with the Chinese economy slowing as well.

0:12:59.080 --> 0:13:01.920
<v Speaker 9>And then Sam's Club essentially is the only one of

0:13:02.000 --> 0:13:05.800
<v Speaker 9>the top five e commerce platforms in China that recorded

0:13:05.840 --> 0:13:08.440
<v Speaker 9>growth that really shows that it can actually go alone,

0:13:08.480 --> 0:13:11.160
<v Speaker 9>and it probably should go alone. And essentially the three

0:13:11.200 --> 0:13:14.160
<v Speaker 9>point six billion that it got can actually put to

0:13:14.280 --> 0:13:14.839
<v Speaker 9>better use.

0:13:15.840 --> 0:13:18.360
<v Speaker 4>YEP, that'll help Bloomberg's Amy or who broke the story

0:13:18.440 --> 0:13:21.480
<v Speaker 4>last night, Thank you. Another one that we're watching Ford

0:13:21.600 --> 0:13:26.400
<v Speaker 4>recalibrating its EV strategy again. This time you also makers

0:13:26.440 --> 0:13:29.640
<v Speaker 4>canceling plans for his fully electric suv, a move that

0:13:29.679 --> 0:13:32.840
<v Speaker 4>could cost the company nearly two billion dollars Bloombos.

0:13:32.880 --> 0:13:34.720
<v Speaker 5>Keith Norton is here with more.

0:13:34.880 --> 0:13:37.800
<v Speaker 4>Oh, Keith, it feels just like yesterday that you and

0:13:37.840 --> 0:13:41.679
<v Speaker 4>I were reporting that Ford was going to focus its

0:13:41.720 --> 0:13:44.800
<v Speaker 4>EV units separate away from everything else, and now it's

0:13:44.840 --> 0:13:47.800
<v Speaker 4>a change. I think you spoke to the CEO, Jim Farley,

0:13:48.679 --> 0:13:49.960
<v Speaker 4>what's the rationale here?

0:13:51.280 --> 0:13:51.600
<v Speaker 10>Well?

0:13:51.640 --> 0:13:55.080
<v Speaker 11>And they are trying to find profitability for that EV

0:13:55.280 --> 0:13:58.439
<v Speaker 11>unit that they broke off. Two years ago when we

0:13:58.480 --> 0:14:02.200
<v Speaker 11>reported on that they're expecting that unit known as MODELI

0:14:02.320 --> 0:14:05.200
<v Speaker 11>to lose as much as five point five billion dollars.

0:14:05.679 --> 0:14:08.160
<v Speaker 10>This three row suv that they've canceled.

0:14:08.200 --> 0:14:10.520
<v Speaker 11>They said that Jim Farley told me they just couldn't

0:14:10.559 --> 0:14:13.200
<v Speaker 11>find a way to make it profitable. It requires a

0:14:13.360 --> 0:14:16.920
<v Speaker 11>very large battery, which is high cost, and they can't

0:14:16.920 --> 0:14:18.920
<v Speaker 11>put it out there with all the competition in the

0:14:18.960 --> 0:14:20.880
<v Speaker 11>market requiring price cuts.

0:14:20.560 --> 0:14:22.960
<v Speaker 10>On e these, so they canceled it.

0:14:22.880 --> 0:14:25.960
<v Speaker 11>And they're looking at perhaps doing an extended range electric

0:14:26.040 --> 0:14:27.560
<v Speaker 11>vehicle technology on that.

0:14:28.080 --> 0:14:30.120
<v Speaker 3>Yeah, Jim Vinie actually saying that we loved our three

0:14:30.200 --> 0:14:32.680
<v Speaker 3>road crossover. He was so excited to show it to everyone,

0:14:32.680 --> 0:14:35.120
<v Speaker 3>but they couldn't get it to be profitable. It feels

0:14:35.160 --> 0:14:37.320
<v Speaker 3>as though once again hybrid is where it's at.

0:14:38.480 --> 0:14:41.200
<v Speaker 11>Yes, they're seeing a lot of growth in hybrid, and

0:14:41.680 --> 0:14:46.240
<v Speaker 11>Farley in particular is really enthused by eravs, this extended

0:14:46.320 --> 0:14:48.680
<v Speaker 11>range electric vehicle, which is where you have a gas

0:14:48.720 --> 0:14:52.320
<v Speaker 11>engine that sole purpose is to just recharge the battery.

0:14:52.360 --> 0:14:55.760
<v Speaker 11>It doesn't drive the wheels, so you're really in electric

0:14:55.840 --> 0:14:58.080
<v Speaker 11>mode most of the time. He saw those of her

0:14:58.120 --> 0:15:00.440
<v Speaker 11>in China. He really wants to get them in the

0:15:00.440 --> 0:15:02.920
<v Speaker 11>Ford lineup, and we may see it as that three

0:15:03.080 --> 0:15:04.320
<v Speaker 11>row suv eventually.

0:15:05.560 --> 0:15:07.800
<v Speaker 4>That's something that's popular in China, and a number of

0:15:07.840 --> 0:15:12.400
<v Speaker 4>the Chinese domestic manufacturers have a thought about that. I mean,

0:15:12.400 --> 0:15:17.200
<v Speaker 4>what I don't understand, Keith, is whether this will ever

0:15:17.280 --> 0:15:19.720
<v Speaker 4>be a place where Ford just does evs. I thought

0:15:19.720 --> 0:15:22.760
<v Speaker 4>that that was the transition plan, right, profit from pickups

0:15:23.240 --> 0:15:26.160
<v Speaker 4>funds the transition long term to evs. Now it seems

0:15:26.200 --> 0:15:29.920
<v Speaker 4>like that's not as clear cut, right it.

0:15:29.960 --> 0:15:33.560
<v Speaker 11>Is not ed, and the new plan really is leans

0:15:33.600 --> 0:15:36.360
<v Speaker 11>on hybrids more, which Ford has been in the business

0:15:36.360 --> 0:15:39.880
<v Speaker 11>of doing for a long time. In the EV space.

0:15:40.000 --> 0:15:43.640
<v Speaker 11>They're looking to do smaller evs and they're really looking

0:15:43.680 --> 0:15:48.680
<v Speaker 11>at advances in battery technology. They have LFP batteries coming

0:15:48.680 --> 0:15:52.040
<v Speaker 11>out of plant in Michigan that will power a new

0:15:52.280 --> 0:15:54.000
<v Speaker 11>medium size pickup truck.

0:15:54.320 --> 0:15:56.600
<v Speaker 10>Ed pickup truck will have in twenty twenty seven.

0:15:57.240 --> 0:15:59.960
<v Speaker 11>Jim Farley told me that the total cost of owner

0:16:00.360 --> 0:16:03.640
<v Speaker 11>of that truck with those lower cost batteries will actually

0:16:03.680 --> 0:16:05.640
<v Speaker 11>be cheaper than traditional vehicles.

0:16:06.520 --> 0:16:10.520
<v Speaker 2>He called us a tremendous pivot. Is this an embarrassment, Keith?

0:16:10.720 --> 0:16:15.640
<v Speaker 3>Is this something that Jim's worried about investor reactions one Tim.

0:16:15.440 --> 0:16:18.760
<v Speaker 11>Well, so far investors have reacted positively. The stock is

0:16:18.840 --> 0:16:19.560
<v Speaker 11>up today.

0:16:20.080 --> 0:16:22.359
<v Speaker 10>I guess there's a couple of ways to look at it.

0:16:22.360 --> 0:16:25.400
<v Speaker 11>It's certainly embarrassing that everyone got so caught up in

0:16:25.440 --> 0:16:28.840
<v Speaker 11>the hype that they started building plants and building battery

0:16:28.880 --> 0:16:31.680
<v Speaker 11>factories everywhere and now have to scale back.

0:16:31.960 --> 0:16:34.640
<v Speaker 10>But for it at least has acknowledge the need to

0:16:34.680 --> 0:16:35.120
<v Speaker 10>do that.

0:16:35.240 --> 0:16:38.280
<v Speaker 11>They've been sort of out front saying no, we need

0:16:38.320 --> 0:16:41.040
<v Speaker 11>to change, and they've been sort of chipping away at it,

0:16:41.080 --> 0:16:43.840
<v Speaker 11>and now they've done this whole plan that he says

0:16:44.320 --> 0:16:46.880
<v Speaker 11>he thinks will be the final move.

0:16:47.040 --> 0:16:47.800
<v Speaker 10>We'll see.

0:16:48.400 --> 0:16:50.160
<v Speaker 3>It's a big cost to have to sucker once again,

0:16:50.240 --> 0:16:52.680
<v Speaker 3>Keith Norton quite importing me. Thank you so much for

0:16:52.760 --> 0:16:53.360
<v Speaker 3>joining us on.

0:16:53.320 --> 0:17:04.520
<v Speaker 4>It time for AI in Action, and today we're looking

0:17:04.560 --> 0:17:07.640
<v Speaker 4>at the rising risks of AI in cybersecurity and how

0:17:07.640 --> 0:17:11.119
<v Speaker 4>one company aims to fight fire with fire in combating

0:17:11.119 --> 0:17:14.560
<v Speaker 4>the threats. Joining us now is Evan Reiser, Abnormal Security CEO.

0:17:15.000 --> 0:17:17.440
<v Speaker 4>A Normal recently hit a five point one billion dollar

0:17:17.560 --> 0:17:20.800
<v Speaker 4>valuation and it's latest Series D fundraise, and I think

0:17:20.840 --> 0:17:23.959
<v Speaker 4>that the story here is actually pretty clear that the

0:17:24.000 --> 0:17:28.280
<v Speaker 4>tools available to your industry in defense are also available

0:17:28.320 --> 0:17:31.040
<v Speaker 4>to the threat actors. Right that AI has given them

0:17:31.480 --> 0:17:33.880
<v Speaker 4>something to work with, and that's kind of what you're

0:17:33.880 --> 0:17:34.520
<v Speaker 4>trying to combat.

0:17:34.520 --> 0:17:38.320
<v Speaker 12>Evan, That's absolutely right. You know, AI is an extremely

0:17:38.359 --> 0:17:41.040
<v Speaker 12>powerful technology. Like all technology, it's a tool, and tool

0:17:41.040 --> 0:17:43.679
<v Speaker 12>could be used for good or evil. Unfortunately, you know,

0:17:43.760 --> 0:17:46.840
<v Speaker 12>criminals are faster adopting technology, and they're using new AI

0:17:46.920 --> 0:17:49.680
<v Speaker 12>technologies to do more bad things.

0:17:50.320 --> 0:17:54.000
<v Speaker 2>You've got twenty four hundred plus customers. How are they

0:17:54.119 --> 0:17:54.439
<v Speaker 2>using you?

0:17:54.560 --> 0:17:58.400
<v Speaker 3>Because ultimately you're trying to predict me, the human and

0:17:58.480 --> 0:18:01.560
<v Speaker 3>when I start to act in a strange way, right.

0:18:02.200 --> 0:18:04.800
<v Speaker 5>Yeah, in an abnormal way. So that that's correct.

0:18:04.800 --> 0:18:06.840
<v Speaker 12>So you know, if you look, you know, decade ago,

0:18:07.160 --> 0:18:10.200
<v Speaker 12>criminals are very focused on attach infrastructure. Now they've moved

0:18:10.200 --> 0:18:12.359
<v Speaker 12>on to the more vulnerable target, which is people, and

0:18:12.640 --> 0:18:15.320
<v Speaker 12>we see you know, social enduring, fraud, fishing, those are

0:18:15.359 --> 0:18:17.920
<v Speaker 12>the biggest forms of cyber attacks, number one cause of breaches.

0:18:18.600 --> 0:18:21.960
<v Speaker 12>Just like you said, abnormals focused on understanding human behavior,

0:18:22.000 --> 0:18:23.879
<v Speaker 12>you know, better than humans, so we can protect humans.

0:18:26.040 --> 0:18:30.040
<v Speaker 4>What I understand Evan is you've got a really impressive

0:18:30.040 --> 0:18:33.600
<v Speaker 4>annual revenue run rate two hundred million dollars. Right, Why

0:18:33.680 --> 0:18:35.840
<v Speaker 4>is it such a vacuum for you to jump into?

0:18:36.400 --> 0:18:38.760
<v Speaker 4>It seems like we've been talking about the AI story

0:18:38.800 --> 0:18:40.920
<v Speaker 4>for a few years, let's say two or three years,

0:18:41.280 --> 0:18:43.400
<v Speaker 4>and now everyone's like, Okay, I need to think about

0:18:43.400 --> 0:18:44.280
<v Speaker 4>the threat before me.

0:18:44.560 --> 0:18:45.800
<v Speaker 5>Why not do it earlier?

0:18:47.040 --> 0:18:47.240
<v Speaker 1>Yeah?

0:18:47.320 --> 0:18:49.560
<v Speaker 12>I think there's two reasons. One is that with the

0:18:49.640 --> 0:18:52.440
<v Speaker 12>rise of these new technologies, it's very easy and accessible

0:18:52.480 --> 0:18:56.200
<v Speaker 12>for criminals to you know, supercharge their attacks. We've seen

0:18:56.200 --> 0:18:58.560
<v Speaker 12>this rise of social enduring and fishing over the last

0:18:58.600 --> 0:19:02.240
<v Speaker 12>couple of years. As Ano there's still the number one cybercrime,

0:19:02.760 --> 0:19:05.320
<v Speaker 12>but now any petty criminal can use chat GBT. They

0:19:05.320 --> 0:19:08.399
<v Speaker 12>can send emails in perfect English, with perfect grammar, with

0:19:08.480 --> 0:19:12.200
<v Speaker 12>context about their victims. And these new technologies allow criminals

0:19:12.280 --> 0:19:14.879
<v Speaker 12>to personalize at scale, and that is very hard to

0:19:14.880 --> 0:19:17.400
<v Speaker 12>defend against. The reason it's really hard is that conventional

0:19:17.400 --> 0:19:19.960
<v Speaker 12>cybersecurits focus on threat intelligence, kind of studying all the

0:19:20.000 --> 0:19:23.520
<v Speaker 12>known bad attacks blocking the existing attacks. And so this

0:19:23.560 --> 0:19:25.800
<v Speaker 12>is why it requires a new technology that's not focused

0:19:25.800 --> 0:19:28.400
<v Speaker 12>on known bad but instead of really good at understanding

0:19:28.400 --> 0:19:31.040
<v Speaker 12>known good, understanding human behavior and then looking for those

0:19:31.040 --> 0:19:33.479
<v Speaker 12>anomalies and abbormalities the basis for threat detection.

0:19:33.760 --> 0:19:35.960
<v Speaker 3>Can you explain a little bit of the underlying technology

0:19:35.960 --> 0:19:38.200
<v Speaker 3>of how you're working that, So, what are you applying

0:19:38.680 --> 0:19:41.200
<v Speaker 3>and ultimately why just raising more money help you.

0:19:41.280 --> 0:19:41.960
<v Speaker 2>Beef that up.

0:19:43.160 --> 0:19:43.400
<v Speaker 1>Yeah.

0:19:43.440 --> 0:19:45.440
<v Speaker 12>So at the core, you know, we're really an artificial

0:19:45.440 --> 0:19:48.760
<v Speaker 12>intelligence company that builds cybersecurity products, and the core technology

0:19:49.040 --> 0:19:52.000
<v Speaker 12>is focused on really understanding human behavior. By integrating all

0:19:52.080 --> 0:19:56.399
<v Speaker 12>kinds of enterprise technology systems, we understand the baseline activity,

0:19:56.720 --> 0:19:58.520
<v Speaker 12>who talks to who about what types of things, what

0:19:58.560 --> 0:20:00.800
<v Speaker 12>business processes. We can map out the supply chain all

0:20:00.840 --> 0:20:04.159
<v Speaker 12>thesing artificial intelligence. We then take that behavioral baseline it

0:20:04.160 --> 0:20:07.360
<v Speaker 12>like for anomalies. And so that's a very's very effective

0:20:07.359 --> 0:20:11.000
<v Speaker 12>at stopping these personalized social engineering phishing attacks I've never

0:20:11.080 --> 0:20:12.919
<v Speaker 12>been seen before, and so it's a kind of a

0:20:12.920 --> 0:20:14.360
<v Speaker 12>really new paradigm.

0:20:13.960 --> 0:20:16.119
<v Speaker 10>For how to do cybersecurity.

0:20:16.359 --> 0:20:17.800
<v Speaker 12>And then I think that the final reason is that

0:20:17.840 --> 0:20:20.560
<v Speaker 12>conventional cybersecurity is very reliant on you know, kind of

0:20:20.560 --> 0:20:23.600
<v Speaker 12>a human powered paradigm, right, lots of human analytic analyzing,

0:20:23.640 --> 0:20:26.280
<v Speaker 12>lots of data. Obviously, machine learning and AI is you know,

0:20:26.320 --> 0:20:28.919
<v Speaker 12>far superior, faster and more effective at doing that, and

0:20:28.960 --> 0:20:31.240
<v Speaker 12>so AI allows us to make you know, superhuman judgments,

0:20:31.280 --> 0:20:35.320
<v Speaker 12>you know, faster than faster than conventional security operations. So

0:20:35.480 --> 0:20:37.000
<v Speaker 12>not only is it a bigger need in the market,

0:20:37.040 --> 0:20:39.359
<v Speaker 12>but new tools allow you know, organizations like us to

0:20:39.720 --> 0:20:41.840
<v Speaker 12>you know, become way, you know, an order magnitude more

0:20:41.840 --> 0:20:43.400
<v Speaker 12>effective at stopping these cyber attacks.

0:20:43.760 --> 0:20:47.000
<v Speaker 3>So to become ever more effective, do you need more people,

0:20:47.040 --> 0:20:49.760
<v Speaker 3>more talent, or do you need more compute more money

0:20:49.760 --> 0:20:50.120
<v Speaker 3>for that?

0:20:51.680 --> 0:20:53.359
<v Speaker 12>It's a bit of everything, right, you know, we just

0:20:53.440 --> 0:20:55.119
<v Speaker 12>raised this big ground. As you mentioned, there's really kind

0:20:55.160 --> 0:20:57.320
<v Speaker 12>of three ways we're planning on doing what you're planning

0:20:57.320 --> 0:21:00.240
<v Speaker 12>on growing the business. One is just you know, growing

0:21:00.240 --> 0:21:02.840
<v Speaker 12>into new markets where you're very West based focus. We're

0:21:02.840 --> 0:21:05.760
<v Speaker 12>explading international in Asia and Europe. The second is we

0:21:05.800 --> 0:21:07.280
<v Speaker 12>do need to grow our team. We want to go

0:21:07.320 --> 0:21:11.040
<v Speaker 12>get the world's best you know leaders in technology and beyond.

0:21:11.320 --> 0:21:13.200
<v Speaker 12>And the third is you know, making more investments in

0:21:13.240 --> 0:21:16.080
<v Speaker 12>that core end platform and then using that to build

0:21:16.119 --> 0:21:18.919
<v Speaker 12>you know, expand our product based beyond you know email security,

0:21:18.920 --> 0:21:21.600
<v Speaker 12>which are known for it protect other surface areas across

0:21:21.600 --> 0:21:22.240
<v Speaker 12>the organization.

0:21:22.480 --> 0:21:23.119
<v Speaker 2>I'm a riser.

0:21:23.560 --> 0:21:26.360
<v Speaker 3>Great to have some time with you I'm Normal Security CEO.

0:21:34.200 --> 0:21:36.399
<v Speaker 3>Welcome back to Bloomberg Technology. I'm Carolin Hyde in New

0:21:36.440 --> 0:21:37.440
<v Speaker 3>York and I'm.

0:21:37.440 --> 0:21:38.800
<v Speaker 5>Ed Ludlow in San Francisco.

0:21:39.160 --> 0:21:41.560
<v Speaker 3>Quick check on the sentiment of these markets right now, ed,

0:21:41.600 --> 0:21:43.199
<v Speaker 3>because we are coming off of what have been a

0:21:43.240 --> 0:21:47.320
<v Speaker 3>slightly stronger rally prior to the jobs revisions data that

0:21:47.320 --> 0:21:50.520
<v Speaker 3>we eventually got more than eight hundred thousand jobs, fewer

0:21:50.560 --> 0:21:53.040
<v Speaker 3>than we had previously been seeing. Yes, we knew that

0:21:53.080 --> 0:21:55.160
<v Speaker 3>revisions were to come, but this is being seen as

0:21:55.160 --> 0:21:58.360
<v Speaker 3>a soft data point. The Federal Reserve therefore probably can

0:21:58.400 --> 0:22:00.479
<v Speaker 3>still cut into this. I'm looking at to is our

0:22:00.520 --> 0:22:02.440
<v Speaker 3>sentiment gage, and we're up four tens percent, but we're

0:22:02.480 --> 0:22:05.199
<v Speaker 3>down of our hives. Some interesting stories also around a

0:22:05.200 --> 0:22:09.439
<v Speaker 3>pretty crowded trade and trade in derivatives, basically showing that

0:22:09.560 --> 0:22:11.919
<v Speaker 3>maybe we're going to could get a short squeeze if

0:22:11.920 --> 0:22:14.119
<v Speaker 3>we've got any more volatility in this market as people

0:22:14.119 --> 0:22:16.080
<v Speaker 3>do go short the asset. Let's move on to some

0:22:16.119 --> 0:22:19.400
<v Speaker 3>of the individual movers in the stocks perspective. Microship Technology

0:22:19.440 --> 0:22:22.639
<v Speaker 3>individual mover here on the back of a cyber attack,

0:22:22.840 --> 0:22:26.000
<v Speaker 3>the microchip company, which basically supplies the US defense interestry,

0:22:26.040 --> 0:22:28.520
<v Speaker 3>saying they were hit. The servers were hit by a

0:22:28.600 --> 0:22:31.080
<v Speaker 3>cyber attack. City saying, look, this is only gonna be temporary.

0:22:31.160 --> 0:22:33.600
<v Speaker 3>Nature are actually up more than two percent. Intuitive Machines.

0:22:34.320 --> 0:22:37.439
<v Speaker 3>This was up more than forty percent yesterday. Remember the

0:22:37.520 --> 0:22:40.040
<v Speaker 3>rover that they had been sending to the moon. This

0:22:40.240 --> 0:22:43.320
<v Speaker 3>space based company is currently down, just as we perhaps

0:22:43.359 --> 0:22:45.040
<v Speaker 3>see a bit of profit taking. I'm looking at dd

0:22:45.119 --> 0:22:46.960
<v Speaker 3>Global as well, just up two and a half percent

0:22:47.000 --> 0:22:47.480
<v Speaker 3>in the moment.

0:22:47.800 --> 0:22:49.879
<v Speaker 2>Well, they come out and finally turn a profit.

0:22:49.920 --> 0:22:52.480
<v Speaker 3>It's small, one hundred ninety six million dollars, but better

0:22:52.560 --> 0:22:54.159
<v Speaker 3>as revenue climbs more than four percent end.

0:22:54.200 --> 0:22:55.119
<v Speaker 2>But we got more on China.

0:22:56.000 --> 0:22:59.320
<v Speaker 4>Yeah, as we said, tech stock slumped after Walmarts sold

0:22:59.359 --> 0:23:01.200
<v Speaker 4>its stake in JD dot Com.

0:23:01.240 --> 0:23:02.280
<v Speaker 5>Also, some key.

0:23:02.400 --> 0:23:05.480
<v Speaker 4>Tech players in China have posted port earnings of late

0:23:05.720 --> 0:23:08.359
<v Speaker 4>Let's get the details with Bloomberg's Isabelle Lee. And it

0:23:08.400 --> 0:23:11.920
<v Speaker 4>was interesting when the Bloomberg reporting hit on the Walmart

0:23:12.040 --> 0:23:16.240
<v Speaker 4>JD steak because actually ripples were felt very quickly across

0:23:16.320 --> 0:23:19.760
<v Speaker 4>Chinese or at least Hong Kong listed equity markets for China.

0:23:19.840 --> 0:23:20.000
<v Speaker 13>Tech.

0:23:20.080 --> 0:23:21.440
<v Speaker 5>Good morning, what did you see?

0:23:21.680 --> 0:23:23.720
<v Speaker 14>We have shares of Jada dot com slumping and it's

0:23:23.720 --> 0:23:26.120
<v Speaker 14>not a surprise because this is an eight year partnership

0:23:26.200 --> 0:23:28.880
<v Speaker 14>between Walmart and JD dot Com, and when Walmart's sold,

0:23:29.080 --> 0:23:32.560
<v Speaker 14>it's roughly three point six billion steak that's at an

0:23:32.600 --> 0:23:35.600
<v Speaker 14>eleven percent discounts, so it seems to be paying diminishing returns.

0:23:35.600 --> 0:23:38.000
<v Speaker 14>This began in twenty sixteen when we have JDA dot

0:23:38.080 --> 0:23:40.720
<v Speaker 14>Com taking over one of Walmart's online marketplace, so this

0:23:41.160 --> 0:23:44.800
<v Speaker 14>focused on selling groceries to hire end shoppers, mostly female

0:23:44.800 --> 0:23:47.720
<v Speaker 14>in major Chinese cities, and Citygroup said this was a surprise.

0:23:47.920 --> 0:23:50.320
<v Speaker 14>We have Bloomberg Intelligence saying that even if they renew

0:23:50.400 --> 0:23:53.119
<v Speaker 14>this eight year non compete contract that is existing right

0:23:53.160 --> 0:23:55.440
<v Speaker 14>now and it ends in twenty twenty four, the terms

0:23:55.440 --> 0:23:57.879
<v Speaker 14>for JD dot Com may not be as favorable. And

0:23:57.960 --> 0:23:59.719
<v Speaker 14>Jeffries also said that you see the drop in JD

0:23:59.760 --> 0:24:02.720
<v Speaker 14>dot Com mainly because of the unexpected of it all.

0:24:02.760 --> 0:24:05.520
<v Speaker 14>And to your point, it's really been a tough year

0:24:05.720 --> 0:24:08.479
<v Speaker 14>or few years for China tech because mostly all of them,

0:24:08.480 --> 0:24:09.720
<v Speaker 14>I don't want to say all of them, most of

0:24:09.760 --> 0:24:12.880
<v Speaker 14>them are really struggling, and particularly.

0:24:12.320 --> 0:24:16.280
<v Speaker 3>When those are exposed to consumption in China. Whip Shop,

0:24:16.320 --> 0:24:19.600
<v Speaker 3>for example, rebounds today yesterday sunk hard on the back

0:24:19.600 --> 0:24:20.400
<v Speaker 3>of its earnings.

0:24:20.880 --> 0:24:23.920
<v Speaker 14>Yes, exactly because it as a broader economy.

0:24:24.000 --> 0:24:26.120
<v Speaker 2>China is still struggling. We have job.

0:24:25.920 --> 0:24:29.000
<v Speaker 14>Prospects, especially for the youth, still uncertain, the property crisis

0:24:29.080 --> 0:24:31.000
<v Speaker 14>day in and day out, it's still there. And we

0:24:31.040 --> 0:24:33.040
<v Speaker 14>also have just the economy. It's not doing well. And

0:24:33.119 --> 0:24:35.840
<v Speaker 14>so this all affects consumer consumption. And we had a

0:24:35.840 --> 0:24:38.040
<v Speaker 14>slew of earnings from Ali Baba, JD dot Com and

0:24:38.080 --> 0:24:40.840
<v Speaker 14>even PDD. And I must know that last week Ali Baba,

0:24:40.880 --> 0:24:43.120
<v Speaker 14>which is long seen as a barometer for Chinese health,

0:24:43.240 --> 0:24:45.640
<v Speaker 14>it's a price investors, when it said its main business,

0:24:45.640 --> 0:24:48.320
<v Speaker 14>commerce shrunk last quarter. So what does that tell you?

0:24:48.359 --> 0:24:51.440
<v Speaker 14>And it really shows the divergence between what we see

0:24:51.480 --> 0:24:53.080
<v Speaker 14>in the US and what we see in China. And

0:24:53.359 --> 0:24:55.840
<v Speaker 14>Walmart in a statement, said that they want to focus

0:24:56.040 --> 0:24:58.960
<v Speaker 14>on their own business and want to reallocate the other

0:24:59.200 --> 0:25:02.240
<v Speaker 14>to other funds, likely the Sam's Club franchise they have,

0:25:02.280 --> 0:25:04.520
<v Speaker 14>which is doing well in China. But Walmart did call

0:25:04.680 --> 0:25:06.960
<v Speaker 14>the partnership with JD dot Com pressure, so there's that,

0:25:07.040 --> 0:25:08.840
<v Speaker 14>and it said it will continue to cooperate.

0:25:09.480 --> 0:25:11.320
<v Speaker 5>I mean, is weel you know me? I love a chart.

0:25:11.520 --> 0:25:13.879
<v Speaker 4>I think that chart on your screen is one of

0:25:13.920 --> 0:25:17.280
<v Speaker 4>the stories, at least for this sort of second quarter

0:25:17.359 --> 0:25:20.080
<v Speaker 4>of this calendar year. Look at the Nasdaq and then

0:25:20.119 --> 0:25:23.160
<v Speaker 4>look at Hanseng Tech. Just go a bit deeper into

0:25:23.359 --> 0:25:26.639
<v Speaker 4>into the outperformance of US listed technology shares and some

0:25:26.680 --> 0:25:29.760
<v Speaker 4>of the struggles of China or at least Hong Kong

0:25:29.840 --> 0:25:30.520
<v Speaker 4>listed tech.

0:25:31.119 --> 0:25:34.160
<v Speaker 14>We have the Chinese Golden Dragon Index down twelve percent

0:25:34.240 --> 0:25:36.960
<v Speaker 14>year today, down fourteen percent in the past twelve months,

0:25:37.000 --> 0:25:38.760
<v Speaker 14>and compare that with the Nasdaq and the S and

0:25:38.840 --> 0:25:41.399
<v Speaker 14>p's double digit game this year. Whether it's seventeen percent

0:25:41.720 --> 0:25:45.439
<v Speaker 14>twenty percent, it's really a story of how US technology

0:25:45.720 --> 0:25:48.520
<v Speaker 14>companies are outperforming the rest of the world. And I

0:25:48.520 --> 0:25:51.000
<v Speaker 14>think it's not even a China story where China is

0:25:51.000 --> 0:25:53.480
<v Speaker 14>stuck in their doll drums, although that's one thing. It's

0:25:53.560 --> 0:25:55.600
<v Speaker 14>just really how this is a US story at the

0:25:55.680 --> 0:25:58.720
<v Speaker 14>end of the day, even Europe can't compete, even Asia,

0:25:58.760 --> 0:26:01.480
<v Speaker 14>it's US, and guest companies in the world are in

0:26:01.520 --> 0:26:04.080
<v Speaker 14>the US. Whether that rally will continue as we know

0:26:04.119 --> 0:26:07.480
<v Speaker 14>that the AI halo is fading sort of for a

0:26:07.520 --> 0:26:11.760
<v Speaker 14>while now, but still you cannot deny that US is

0:26:11.880 --> 0:26:14.200
<v Speaker 14>really the bright spot in the rest of the world,

0:26:14.240 --> 0:26:15.320
<v Speaker 14>at least the tech companies.

0:26:15.800 --> 0:26:18.440
<v Speaker 2>It's WELLI great to have you on. We thank you.

0:26:18.720 --> 0:26:21.160
<v Speaker 3>We're gonna look at China in a different perspective right

0:26:21.160 --> 0:26:24.159
<v Speaker 3>now because we're looking at the release of China's biggest

0:26:24.200 --> 0:26:27.320
<v Speaker 3>PC game to date, Black Myth Wukong, the game about

0:26:27.359 --> 0:26:30.080
<v Speaker 3>by ten Cent Remember, has become a bit of a sensation,

0:26:30.400 --> 0:26:32.560
<v Speaker 3>more than two million players trying out the game in

0:26:32.600 --> 0:26:35.560
<v Speaker 3>the first day alone in its global launch. It's called

0:26:35.600 --> 0:26:38.359
<v Speaker 3>in to stream dB. It's a strong first day performance

0:26:38.440 --> 0:26:40.840
<v Speaker 3>and of course it could shore up expectations for China's

0:26:41.000 --> 0:26:45.240
<v Speaker 3>forty billion dollar plus gaming arena after years of regulatory scrutiny.

0:26:45.480 --> 0:26:48.400
<v Speaker 3>Let's bring in Nissa Christmas Hansen, CEO of Nico Partners

0:26:48.640 --> 0:26:52.119
<v Speaker 3>for more you really understand and deep dive on the

0:26:52.200 --> 0:26:56.320
<v Speaker 3>China element of gaming. What is the China consumer showing

0:26:56.359 --> 0:26:58.560
<v Speaker 3>you when it comes to a desire to get into gaming.

0:26:58.600 --> 0:27:00.200
<v Speaker 2>They don't seem to be reticent there.

0:27:01.760 --> 0:27:04.880
<v Speaker 13>Hi, Yeah, the Chinese consumer has always been.

0:27:04.960 --> 0:27:09.440
<v Speaker 8>Avid for gaming. They are They find that gaming.

0:27:09.280 --> 0:27:14.040
<v Speaker 13>Is an inexpensive form of digital entertainment. It's very social

0:27:14.680 --> 0:27:18.160
<v Speaker 13>and the higher the quality of the games, the more

0:27:18.240 --> 0:27:21.800
<v Speaker 13>these high demanding gamers will throw themselves into them and

0:27:21.840 --> 0:27:24.720
<v Speaker 13>spend a lot of money, and Black Myth Wukong is

0:27:24.880 --> 0:27:26.440
<v Speaker 13>just a perfect example of that.

0:27:26.720 --> 0:27:28.240
<v Speaker 8>It's a perfect example.

0:27:27.920 --> 0:27:32.800
<v Speaker 13>Of lots of things like Chinese game development prowess, how

0:27:32.960 --> 0:27:37.879
<v Speaker 13>Chinese game developers are really world class, and how a

0:27:37.960 --> 0:27:40.880
<v Speaker 13>relatively unknown company like Game Science.

0:27:40.480 --> 0:27:43.160
<v Speaker 8>Which is the developer of Black Myth Wukong.

0:27:43.160 --> 0:27:46.920
<v Speaker 13>Backed by Tencent, backed by Hero Entertainment, how it could

0:27:47.040 --> 0:27:49.439
<v Speaker 13>just have developed this game for years on end and

0:27:49.480 --> 0:27:51.840
<v Speaker 13>then have it come out at the top of.

0:27:51.840 --> 0:27:54.920
<v Speaker 5>Every chart, Okay, well every chart.

0:27:55.000 --> 0:27:57.639
<v Speaker 4>The other data set I was tracking was Sony PlayStation

0:27:57.840 --> 0:28:02.200
<v Speaker 4>five sales on Ali Barba the seven days through August twentieth,

0:28:02.200 --> 0:28:05.359
<v Speaker 4>and it was top of the consumer Electronics tree playerborn

0:28:05.440 --> 0:28:08.320
<v Speaker 4>PS five and PC. What does that tell us about

0:28:08.359 --> 0:28:11.639
<v Speaker 4>the Chinese game player right now, the Chinese consumer that

0:28:11.680 --> 0:28:15.480
<v Speaker 4>loves video games, Lisa, Well, it.

0:28:15.440 --> 0:28:17.360
<v Speaker 8>Tells us that they are discerning.

0:28:17.520 --> 0:28:19.680
<v Speaker 13>It tells us that they have money to spend when

0:28:19.680 --> 0:28:21.840
<v Speaker 13>they want to spend it, and it tells us that

0:28:21.920 --> 0:28:23.800
<v Speaker 13>they will spend that money on things that.

0:28:23.760 --> 0:28:25.080
<v Speaker 10>Are high quality.

0:28:25.320 --> 0:28:29.080
<v Speaker 13>So I think that for other game developers worldwide looking

0:28:29.280 --> 0:28:29.960
<v Speaker 13>to tackle this.

0:28:30.040 --> 0:28:33.359
<v Speaker 8>Market, there is opportunity there right now.

0:28:33.520 --> 0:28:37.080
<v Speaker 13>Blackmith Wukong does have one of the coveted government issued

0:28:37.160 --> 0:28:41.800
<v Speaker 13>ISBN licenses permitting it to have domestic distribution, but its

0:28:41.960 --> 0:28:47.680
<v Speaker 13>primary source of distribution in China today is Steam International,

0:28:48.040 --> 0:28:52.520
<v Speaker 13>and for Steam International, the ISBN is not really relevant,

0:28:52.880 --> 0:28:56.520
<v Speaker 13>so this is still a way for game companies to

0:28:56.600 --> 0:28:59.400
<v Speaker 13>distribute games in China.

0:29:00.080 --> 0:29:03.640
<v Speaker 3>Therefore, is a government going to assess what seems to

0:29:03.640 --> 0:29:05.400
<v Speaker 3>be a phenomenal first day.

0:29:07.480 --> 0:29:09.480
<v Speaker 13>Well, I think the government will assess this as a

0:29:09.560 --> 0:29:14.000
<v Speaker 13>victory for a Chinese based developer and one that is

0:29:14.760 --> 0:29:19.600
<v Speaker 13>going to certainly be a leader among the expul pack

0:29:19.960 --> 0:29:23.240
<v Speaker 13>of games that are being exported from China to the

0:29:23.280 --> 0:29:26.440
<v Speaker 13>rest of the world. This is a single player PC

0:29:26.800 --> 0:29:30.120
<v Speaker 13>offline game, meaning it's a premium game. You pay for

0:29:30.200 --> 0:29:33.000
<v Speaker 13>it up front and there are no in game purchases.

0:29:33.120 --> 0:29:36.400
<v Speaker 13>So this is something really amazing because most of the

0:29:36.440 --> 0:29:38.960
<v Speaker 13>success of games in China has.

0:29:38.800 --> 0:29:41.960
<v Speaker 8>Been for free to play or with in app.

0:29:41.800 --> 0:29:44.760
<v Speaker 13>Purchases this type of thing, and most of the hits

0:29:44.760 --> 0:29:47.080
<v Speaker 13>have been on mobile. This is a PC based single

0:29:47.120 --> 0:29:51.000
<v Speaker 13>player game, and just to give you some point of reference,

0:29:51.640 --> 0:29:55.400
<v Speaker 13>by the NIQUE China Games and Streaming Tracker, one of

0:29:55.440 --> 0:29:57.240
<v Speaker 13>the tools that we use to measure the market.

0:29:57.320 --> 0:29:59.600
<v Speaker 8>It's our proprietary tool.

0:30:00.120 --> 0:30:03.480
<v Speaker 13>We track streams on dou Huya and Billy Billy and

0:30:03.520 --> 0:30:08.280
<v Speaker 13>there were twenty nine million viewers by Nico's algorithmic approximation

0:30:08.360 --> 0:30:12.600
<v Speaker 13>of viewers of this game out of one hundred and

0:30:12.640 --> 0:30:18.080
<v Speaker 13>thirty million viewers of all streamed games on those platforms

0:30:18.200 --> 0:30:21.400
<v Speaker 13>on August twentieth, So that was really remarkable. You know,

0:30:21.480 --> 0:30:24.840
<v Speaker 13>almost twenty five percent of all gamers who are watching

0:30:25.000 --> 0:30:27.440
<v Speaker 13>streams of games are watching this.

0:30:27.560 --> 0:30:33.320
<v Speaker 4>Game, Lisa, developed by Game Science and Hung Joe. I

0:30:33.440 --> 0:30:36.360
<v Speaker 4>got so much marketing for this, particularly through the PS app.

0:30:38.120 --> 0:30:41.360
<v Speaker 4>Do you think, just to extend Caroline's question, this is

0:30:41.600 --> 0:30:44.600
<v Speaker 4>going to be a national champion for China that they'll say,

0:30:44.680 --> 0:30:46.760
<v Speaker 4>what a success you've got here on our hands?

0:30:48.640 --> 0:30:48.880
<v Speaker 5>Yeah?

0:30:48.920 --> 0:30:49.120
<v Speaker 2>Sure.

0:30:49.160 --> 0:30:51.120
<v Speaker 13>I think this is one of the big successes not

0:30:51.160 --> 0:30:54.320
<v Speaker 13>only of China but of PC offline games kind of globally,

0:30:54.640 --> 0:30:56.920
<v Speaker 13>and it happens to be from China, and it happens

0:30:56.960 --> 0:31:00.000
<v Speaker 13>to be from a relatively unknown studio called Game Science.

0:31:00.000 --> 0:31:03.440
<v Speaker 8>And similarly, Genchin Impact.

0:31:03.160 --> 0:31:06.040
<v Speaker 13>Had been released by Mijoyo a couple of years back,

0:31:06.080 --> 0:31:09.920
<v Speaker 13>and it, too, Blue Doors passed everyone's expectations and was

0:31:10.040 --> 0:31:14.600
<v Speaker 13>a national you know, big hit that went global and

0:31:14.720 --> 0:31:19.440
<v Speaker 13>lots of people love the game. Genshin Impact, so Mijoyo

0:31:19.560 --> 0:31:22.360
<v Speaker 13>also came out with that game as their first big hit.

0:31:23.080 --> 0:31:25.400
<v Speaker 13>And now we see game Science doing the same thing.

0:31:25.480 --> 0:31:28.440
<v Speaker 13>We've seen lots of tencent games do this. We've seen

0:31:28.480 --> 0:31:31.520
<v Speaker 13>lots of Netti's games do this. And speaking of Nettie's,

0:31:31.600 --> 0:31:34.600
<v Speaker 13>their big long standing hit of twenty years is Fantasy

0:31:34.600 --> 0:31:39.600
<v Speaker 13>Westward Journey. And Fantasy Westward Journey is a cultural mythical

0:31:39.720 --> 0:31:43.520
<v Speaker 13>history based game about you know, journey to the West

0:31:43.600 --> 0:31:44.280
<v Speaker 13>and legend of.

0:31:44.240 --> 0:31:44.920
<v Speaker 8>The Monkey King.

0:31:45.240 --> 0:31:47.960
<v Speaker 13>And that is the same theme that we see here

0:31:48.080 --> 0:31:51.360
<v Speaker 13>in Black Myth Wukong. And this theme has been very

0:31:51.400 --> 0:31:56.040
<v Speaker 13>popular among Chinese gamers forever and now we see that again.

0:31:57.040 --> 0:31:59.800
<v Speaker 13>It doesn't get tired that the game gamers don't get

0:31:59.800 --> 0:32:00.560
<v Speaker 13>tied of it.

0:32:00.600 --> 0:32:02.520
<v Speaker 8>This is something that they love to play.

0:32:03.760 --> 0:32:06.680
<v Speaker 4>If I can find just a couple of hours this week,

0:32:06.880 --> 0:32:10.800
<v Speaker 4>I will play. Lisa Costmas Hansen, CEO NICO Partners, thank

0:32:10.840 --> 0:32:22.720
<v Speaker 4>you so much for coming back. Barck and Michelle Obama

0:32:22.800 --> 0:32:25.440
<v Speaker 4>made their appearance on the second night of the Democratic

0:32:25.520 --> 0:32:30.560
<v Speaker 4>National Convention, blasting Republican nominee Donald Trump while painting Vice

0:32:30.560 --> 0:32:34.960
<v Speaker 4>President Kamala Harris is the heir of their historic political legacy.

0:32:35.000 --> 0:32:36.960
<v Speaker 4>I want to bring in Bloombose Kadie Liones for more.

0:32:37.000 --> 0:32:39.640
<v Speaker 4>And no matter which social media platform you looked on

0:32:39.720 --> 0:32:41.880
<v Speaker 4>the clips were shared, a lot of people had a

0:32:41.920 --> 0:32:44.520
<v Speaker 4>lot of comments. Is there any summary of what was

0:32:44.520 --> 0:32:45.480
<v Speaker 4>said on stage?

0:32:47.880 --> 0:32:49.360
<v Speaker 15>Well, we have to keep in mind here ed that

0:32:49.400 --> 0:32:51.720
<v Speaker 15>the Obamas, both of them, are some of the most

0:32:51.720 --> 0:32:55.800
<v Speaker 15>popular figures in modern democratic politics. Their approval reading among

0:32:55.960 --> 0:32:58.719
<v Speaker 15>those in the Democratic Party is north of ninety percent.

0:32:58.800 --> 0:33:01.280
<v Speaker 15>Michelle Obama, in Particulkiller is kind of more so even

0:33:01.320 --> 0:33:04.200
<v Speaker 15>a cultural figure than she was a former First Lady,

0:33:04.240 --> 0:33:06.400
<v Speaker 15>given the resonance of her book that published a few

0:33:06.480 --> 0:33:08.320
<v Speaker 15>years ago, in the tour that came along with thousands

0:33:08.360 --> 0:33:10.920
<v Speaker 15>of people, she certainly has an ability to kind of

0:33:10.960 --> 0:33:13.280
<v Speaker 15>resonate with the American populace, and of course as a

0:33:13.320 --> 0:33:16.120
<v Speaker 15>hometown girl in Chicago, her speech was very much one

0:33:16.120 --> 0:33:19.000
<v Speaker 15>that seemed targeted at getting people to actually.

0:33:18.640 --> 0:33:19.400
<v Speaker 2>Turn out to vote.

0:33:19.440 --> 0:33:22.200
<v Speaker 15>Both she and her husband, the former President Barack Obama,

0:33:22.360 --> 0:33:25.200
<v Speaker 15>kind of warned about these ideas of complacency, essentially saying

0:33:25.240 --> 0:33:28.360
<v Speaker 15>that this is going to be a tough fight. Michelle Obama,

0:33:28.440 --> 0:33:31.760
<v Speaker 15>calling on voters to do something, while Barack Obama, for

0:33:31.840 --> 0:33:35.000
<v Speaker 15>his part, talked more about his relationship with Joe Biden.

0:33:35.080 --> 0:33:38.320
<v Speaker 15>Of course, has Biden kind of gave his farewell address

0:33:38.360 --> 0:33:41.200
<v Speaker 15>on night one of the convention that went acknowledge and

0:33:41.200 --> 0:33:44.080
<v Speaker 15>Biden also. Obama rather had some pretty sharp attacks for

0:33:44.120 --> 0:33:46.800
<v Speaker 15>Donald Trump, talking about what he dubbed his weird obsession

0:33:47.240 --> 0:33:50.440
<v Speaker 15>with crowd size, talking about how he's been whining for

0:33:50.560 --> 0:33:53.040
<v Speaker 15>years and that it's getting stale for American voters. So

0:33:53.080 --> 0:33:55.120
<v Speaker 15>certainly it was fiery, And of course the Obamas have

0:33:55.120 --> 0:33:58.200
<v Speaker 15>had this kind of social media power that we have seen.

0:33:58.280 --> 0:34:01.080
<v Speaker 15>They really were the first kind of internet campaign, if

0:34:01.120 --> 0:34:03.120
<v Speaker 15>you will, back in two thousand and eight, and so

0:34:03.160 --> 0:34:05.680
<v Speaker 15>some of these resonating moments on social media we've certainly

0:34:06.000 --> 0:34:07.760
<v Speaker 15>seen playing out. And keeping in mind as well that

0:34:07.840 --> 0:34:11.520
<v Speaker 15>in that convention hall there are hundreds of social media influencers,

0:34:11.520 --> 0:34:14.880
<v Speaker 15>some of which have gotten actual speaking slots at this convention.

0:34:15.960 --> 0:34:19.040
<v Speaker 3>Katie lyones this like tech nuance on what was a

0:34:19.080 --> 0:34:22.560
<v Speaker 3>big night for the DNC. Now, let's discuss the impact

0:34:22.640 --> 0:34:25.120
<v Speaker 3>of the election on the tech landscape on bench capital

0:34:25.120 --> 0:34:27.800
<v Speaker 3>in particular, Marlin Nichols is with US Managing General partner

0:34:27.800 --> 0:34:30.520
<v Speaker 3>at mac Bench Capital, one of the signatories of VC's

0:34:30.560 --> 0:34:33.120
<v Speaker 3>for Kamala, and I mean just quickly to start us

0:34:33.160 --> 0:34:35.400
<v Speaker 3>off with the DNC and the energy there at the moment,

0:34:35.440 --> 0:34:37.760
<v Speaker 3>what are you seeing? How is it you hearing anything

0:34:37.800 --> 0:34:40.560
<v Speaker 3>from a policy perspective that speaks to your industry.

0:34:41.960 --> 0:34:44.960
<v Speaker 16>Yeah, I think there's still a lot to be said

0:34:45.680 --> 0:34:50.000
<v Speaker 16>and disclose on the actual policy. But my perspective is

0:34:50.080 --> 0:34:53.239
<v Speaker 16>Kamala is from the Bay Area, she was Aga California.

0:34:53.640 --> 0:34:56.480
<v Speaker 16>She knows tech. She's been an advocate and a supporter

0:34:56.560 --> 0:34:58.719
<v Speaker 16>of tech for a long time, and I'll expect that

0:34:58.760 --> 0:34:59.759
<v Speaker 16>to change anytime soon.

0:35:01.440 --> 0:35:03.719
<v Speaker 4>Modern A lot has been made of the idea that

0:35:04.000 --> 0:35:06.360
<v Speaker 4>Kamala Harris is from from the Bay We also had

0:35:06.360 --> 0:35:08.200
<v Speaker 4>a lot of people on the show that that say, well,

0:35:08.280 --> 0:35:11.040
<v Speaker 4>jd Vance was a bench Capitalist. You know, here's the

0:35:11.120 --> 0:35:14.879
<v Speaker 4>experience of backing entrepreneurs. Therefore might be better for a

0:35:14.920 --> 0:35:17.680
<v Speaker 4>startup leader for for an entrepreneurial environment.

0:35:17.880 --> 0:35:18.960
<v Speaker 5>How would you respond to that?

0:35:20.080 --> 0:35:24.880
<v Speaker 16>I'll say, this election to me is it's it's about

0:35:24.920 --> 0:35:28.359
<v Speaker 16>more than just you know, what's going to happen for tech.

0:35:28.400 --> 0:35:30.239
<v Speaker 16>I think tech is going to be okay, right. This

0:35:30.360 --> 0:35:35.680
<v Speaker 16>election to me is about human rights and freedom in

0:35:35.800 --> 0:35:39.040
<v Speaker 16>unifying the country, and I feel like Kamala is a

0:35:39.040 --> 0:35:42.200
<v Speaker 16>better choice in that respect. I also think she's the

0:35:42.200 --> 0:35:45.759
<v Speaker 16>most qualified candidate running, right. I mentioned she was an

0:35:45.760 --> 0:35:48.479
<v Speaker 16>ag she's part of the Senate, and she's been vice

0:35:48.520 --> 0:35:52.480
<v Speaker 16>president in a you know, in an administration that had

0:35:52.520 --> 0:35:54.200
<v Speaker 16>to do a lot of tournaments from a lot of

0:35:54.239 --> 0:35:57.759
<v Speaker 16>harm that was done from the administration prior. So that's

0:35:57.800 --> 0:36:00.920
<v Speaker 16>why I was I'm supportive of Kamala and why I

0:36:00.960 --> 0:36:03.400
<v Speaker 16>was a signer of the petition.

0:36:04.160 --> 0:36:07.440
<v Speaker 3>That human rights element speaks a lot to ultimately what

0:36:07.560 --> 0:36:11.160
<v Speaker 3>the work you've been doing within MAC Venture Capital because

0:36:11.840 --> 0:36:15.799
<v Speaker 3>you are backing founders from diverse backgrounds, you are doing

0:36:15.800 --> 0:36:19.200
<v Speaker 3>the work to not only be a majority black led team,

0:36:19.400 --> 0:36:21.319
<v Speaker 3>but also then put your money to work there too.

0:36:21.480 --> 0:36:24.440
<v Speaker 3>What sort of outside performance do you therefore get from that?

0:36:24.520 --> 0:36:27.520
<v Speaker 3>As you speak to you're putting your money and vote

0:36:27.560 --> 0:36:30.279
<v Speaker 3>behind Kamala not just because of what she looks like

0:36:30.320 --> 0:36:33.360
<v Speaker 3>and how she identifies, but also the experience she has.

0:36:34.880 --> 0:36:35.080
<v Speaker 5>Yeah.

0:36:35.200 --> 0:36:38.080
<v Speaker 16>I mean, for us, we've always tried to build a

0:36:38.160 --> 0:36:41.680
<v Speaker 16>fund that was one hundred percent meritocratic, right, and I

0:36:41.680 --> 0:36:44.640
<v Speaker 16>think that's the way that the world should work. Right,

0:36:44.760 --> 0:36:48.440
<v Speaker 16>despite your skin color, your gender, et cetera. If you

0:36:48.480 --> 0:36:52.360
<v Speaker 16>are the most capable and you're building the thing that

0:36:52.760 --> 0:36:57.760
<v Speaker 16>matters the most for the majority of the world, then

0:36:57.920 --> 0:37:00.000
<v Speaker 16>you should get the funding. You should have the opportunity

0:37:01.120 --> 0:37:02.120
<v Speaker 16>to build that company.

0:37:02.280 --> 0:37:02.759
<v Speaker 5>And that's the.

0:37:02.680 --> 0:37:05.640
<v Speaker 16>Philosophy that we've employed at at MAC from the beginning

0:37:05.920 --> 0:37:07.160
<v Speaker 16>and it served us pretty well.

0:37:09.040 --> 0:37:10.960
<v Speaker 4>Marlon and I want to just ask how things are

0:37:10.960 --> 0:37:14.040
<v Speaker 4>going at the firm to twenty twenty two. You have

0:37:14.120 --> 0:37:17.160
<v Speaker 4>your sophomore fund double your inaugural fund. You've had two

0:37:17.239 --> 0:37:20.080
<v Speaker 4>years to invest, go and see what's out there.

0:37:20.120 --> 0:37:21.040
<v Speaker 5>How's that gone?

0:37:21.800 --> 0:37:24.040
<v Speaker 16>Yeah, I mean I've put our track rocket up against

0:37:24.040 --> 0:37:27.040
<v Speaker 16>any other fund. You know, we're investing out of our

0:37:27.080 --> 0:37:31.080
<v Speaker 16>third fund now, all in for managing just around six

0:37:31.200 --> 0:37:33.880
<v Speaker 16>hundred million, which I think makes us the largest seat

0:37:34.680 --> 0:37:38.840
<v Speaker 16>seat stage fund in Los Angeles and one of the

0:37:38.920 --> 0:37:43.120
<v Speaker 16>largest in the country. I think things are going pretty well.

0:37:43.200 --> 0:37:45.120
<v Speaker 3>Let's talk a little bit about being in LA and

0:37:45.160 --> 0:37:48.320
<v Speaker 3>therefore some of the areas you've been allocating and first

0:37:48.360 --> 0:37:50.319
<v Speaker 3>comes to mind as the entertainment space, and they're like,

0:37:50.360 --> 0:37:52.719
<v Speaker 3>but I'm sure that you've also been looking at artificial intelligence.

0:37:53.160 --> 0:37:56.000
<v Speaker 3>What are valuations like when you're taking those two separate

0:37:56.000 --> 0:37:57.080
<v Speaker 3>areas in industry groups.

0:37:58.080 --> 0:38:02.240
<v Speaker 16>Yeah, you know, fortunately at the stage, valuations haven't jumped

0:38:03.160 --> 0:38:06.520
<v Speaker 16>or or declined too much. It's been pretty steady. You're

0:38:06.640 --> 0:38:09.400
<v Speaker 16>the range is roughly you know, ten million post money

0:38:09.400 --> 0:38:12.880
<v Speaker 16>to about twenty five and it's it's pretty it stayed

0:38:12.920 --> 0:38:16.360
<v Speaker 16>pretty flat there, even if it's an AI company. So

0:38:16.360 --> 0:38:21.640
<v Speaker 16>so we hadn't we weren't really too affected by the

0:38:22.320 --> 0:38:24.560
<v Speaker 16>major jumps in valuation that you're seeing at Series A

0:38:24.719 --> 0:38:25.879
<v Speaker 16>and beyond.

0:38:26.680 --> 0:38:28.480
<v Speaker 10>AI is a hot area for.

0:38:28.520 --> 0:38:31.839
<v Speaker 16>Everyone right now, and obviously we're we're investing that. We've

0:38:31.880 --> 0:38:34.480
<v Speaker 16>been investing in that area for over ten years now.

0:38:34.920 --> 0:38:38.200
<v Speaker 16>I have over ten years now the fund since our inception.

0:38:38.960 --> 0:38:40.600
<v Speaker 10>So yeah, you.

0:38:40.560 --> 0:38:45.400
<v Speaker 16>Know, markets, uh, you know, rise and fall and we

0:38:45.520 --> 0:38:46.440
<v Speaker 16>just try to be steady.

0:38:47.880 --> 0:38:50.879
<v Speaker 4>Marlon Nichols, Managing general partner at matt Bench Capital. Great

0:38:50.880 --> 0:38:52.600
<v Speaker 4>to have you here on Bloomberg Technology.

0:38:52.640 --> 0:38:53.000
<v Speaker 5>Thank you.

0:38:53.000 --> 0:38:56.399
<v Speaker 4>Now. Coming out, Serious XM signs a multi year deal

0:38:56.480 --> 0:39:00.399
<v Speaker 4>for the cool Her Daddy podcast. Interesting conversation coming out.

0:39:00.400 --> 0:39:09.520
<v Speaker 4>This is Bloomberg Technology.

0:39:11.280 --> 0:39:13.600
<v Speaker 3>Let's just talk about Serious XM after it signed a

0:39:13.680 --> 0:39:16.880
<v Speaker 3>multi year deal for Alex Cooper's Cooler Daddy podcast and

0:39:17.000 --> 0:39:19.959
<v Speaker 3>network of shows. Now it will give the satellite radio

0:39:20.000 --> 0:39:23.040
<v Speaker 3>company the exclusive rights to sell ads on the audio

0:39:23.040 --> 0:39:24.839
<v Speaker 3>and the video as you see here versions of her show,

0:39:24.960 --> 0:39:27.120
<v Speaker 3>as well as bonus content and events, and not only

0:39:27.120 --> 0:39:29.400
<v Speaker 3>her show, but those of other contributors to the Unwell

0:39:29.480 --> 0:39:33.000
<v Speaker 3>network like Alex Earl as well Ashley Carmen joins us

0:39:33.080 --> 0:39:35.480
<v Speaker 3>more for a few and our audience they'll be like,

0:39:35.560 --> 0:39:37.839
<v Speaker 3>who's Alex Cooper, Who's Alex el What are we talking

0:39:37.880 --> 0:39:40.239
<v Speaker 3>about here? This is a really gen z demographic, But

0:39:40.280 --> 0:39:42.120
<v Speaker 3>it means she's got one of what the seventh most

0:39:42.160 --> 0:39:44.040
<v Speaker 3>listened to podcast in the US.

0:39:44.120 --> 0:39:46.319
<v Speaker 17>Yes, this first quarter she's had a huge show call.

0:39:46.360 --> 0:39:48.960
<v Speaker 17>Her Daddy's been around for years. She had an exclusive

0:39:48.960 --> 0:39:50.799
<v Speaker 17>deal with Spotify that had been going on for the

0:39:50.800 --> 0:39:54.160
<v Speaker 17>past four years, I believe, And recently she took some

0:39:54.239 --> 0:39:56.480
<v Speaker 17>of the money she made in Spotify and started her

0:39:56.520 --> 0:39:59.520
<v Speaker 17>own network with a lot of TikTok YouTube stars.

0:39:59.520 --> 0:40:01.120
<v Speaker 2>So again, a young demographic.

0:40:02.800 --> 0:40:05.279
<v Speaker 4>What I'm fascinated about in the world of podcasts and

0:40:05.320 --> 0:40:08.160
<v Speaker 4>podcasts is if we use cool her daddy as the

0:40:08.200 --> 0:40:10.640
<v Speaker 4>example is, who are the power brokers that get the

0:40:10.680 --> 0:40:13.440
<v Speaker 4>deals done? But how does something like this come together?

0:40:15.160 --> 0:40:18.719
<v Speaker 17>Yeah, that's a great question. Well, Alex Cooper's agent is

0:40:18.800 --> 0:40:22.840
<v Speaker 17>Aren Rosenbaum from UTA. He is definitely one of the

0:40:22.880 --> 0:40:26.880
<v Speaker 17>power brokers in podcasting. He has signed deals for Alex Cooper,

0:40:27.200 --> 0:40:30.839
<v Speaker 17>Ashley Flowers of Crime Junkie, also with SYRIASXM, and many

0:40:30.840 --> 0:40:33.640
<v Speaker 17>many other podcasters like Guy raz of how I built this,

0:40:34.040 --> 0:40:36.440
<v Speaker 17>so many others who work with UTA, and of course

0:40:36.520 --> 0:40:38.799
<v Speaker 17>all the agencies have podcast agents as well.

0:40:39.600 --> 0:40:42.720
<v Speaker 3>What's wild is that, Yeah, his a one year performers

0:40:42.719 --> 0:40:45.279
<v Speaker 3>a SYRIXXM. It's down twenty four percent, but yesterday I

0:40:45.320 --> 0:40:47.600
<v Speaker 3>added basically more than eight hundred million dollars in market

0:40:47.640 --> 0:40:51.480
<v Speaker 3>capitalization through this one deal. Syrus has been aggressive and

0:40:51.600 --> 0:40:55.800
<v Speaker 3>also got into smartness another one hundred million dollar amount written.

0:40:55.960 --> 0:40:58.040
<v Speaker 2>Is this the new price tag for a successful podcast?

0:40:58.719 --> 0:41:01.480
<v Speaker 17>It was really the way the business was operating actually

0:41:01.520 --> 0:41:04.200
<v Speaker 17>like four years ago, and Spotify got into the space,

0:41:04.560 --> 0:41:07.800
<v Speaker 17>But recently we haven't seen as many of these splashy deals.

0:41:07.800 --> 0:41:10.520
<v Speaker 17>Serious XM is really the one out there that's being aggressive,

0:41:10.760 --> 0:41:15.080
<v Speaker 17>paying these big bills and focusing on the star talent

0:41:15.120 --> 0:41:18.080
<v Speaker 17>because I think they really see an opportunity where Howard

0:41:18.080 --> 0:41:21.719
<v Speaker 17>Stearns's contract is coming up they're losing subscribers. They really

0:41:21.800 --> 0:41:24.200
<v Speaker 17>need to bring in a younger demographic, and I think

0:41:24.239 --> 0:41:26.120
<v Speaker 17>the way they see that they're able to do that

0:41:26.239 --> 0:41:27.800
<v Speaker 17>is through these younger podcast stars.

0:41:28.560 --> 0:41:30.080
<v Speaker 5>So these are high profile very quickly.

0:41:30.120 --> 0:41:35.120
<v Speaker 4>Actually examples of leaving Spotify is that a worry in exodus, So.

0:41:35.120 --> 0:41:38.279
<v Speaker 17>Yeah, some of these folks have left Spotify. Spotify has

0:41:38.320 --> 0:41:42.080
<v Speaker 17>really just changed its operating mission. I mean, they were

0:41:42.520 --> 0:41:45.200
<v Speaker 17>very very very aggressive in the podcast space, but since

0:41:45.239 --> 0:41:49.400
<v Speaker 17>then they've now really focused on efficiency and being profitable

0:41:49.480 --> 0:41:52.520
<v Speaker 17>and having a better margin, and so we've seen their

0:41:52.560 --> 0:41:55.480
<v Speaker 17>business actually do very well as they've backed away from

0:41:55.480 --> 0:41:57.400
<v Speaker 17>some of these high profile podcast deals.

0:41:58.160 --> 0:42:00.840
<v Speaker 4>Bloomberg's actually common terrific sporting as always.

0:42:00.880 --> 0:42:03.879
<v Speaker 3>Thank you some big deals to finish off this edition

0:42:03.920 --> 0:42:05.320
<v Speaker 3>of the Bloomberg Technology.

0:42:04.920 --> 0:42:07.879
<v Speaker 4>Yet don't forget recap on the podcast. You can find

0:42:07.920 --> 0:42:10.000
<v Speaker 4>it on the Bloomberg terminal as well as on Apple,

0:42:10.080 --> 0:42:12.480
<v Speaker 4>Spotify and iHeart that does it.

0:42:12.760 --> 0:42:14.000
<v Speaker 5>This is Bloomberg Technology